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Topology optimization of Superhydrophobic Surfaces to delay spatially developing modal laminar–turbulent transition
FLOW and SeRC, KTH Engineering Mechanics, Royal Institute of Technology, Stockholm, Sweden.
FLOW and SeRC, KTH Engineering Mechanics, Royal Institute of Technology, Stockholm, Sweden; Friedrich-Alexander-Universität (FAU) Erlangen–Nürnberg, Germany.
Department of Mathematics and Computer Science, Karlstad University, Karlstad, Sweden.ORCID iD: 0000-0001-8704-9584
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-0473-3263
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2023 (English)In: International Journal of Heat and Fluid Flow, ISSN 0142-727X, E-ISSN 1879-2278, Vol. 104, article id 109231Article in journal (Refereed) Published
Abstract [en]

Super-Hydrophobic Surfaces (SHSs) have been shown to reduce skin friction of an overlying fluid as a consequence of gas pockets trapped within the surface's microstructure. More recently, they have also been shown capable of delaying laminar–turbulent transition. This article investigates the applicability of topology optimization in designing the macroscopic layout of SHSs in a channel that are able to further delay K-type transition in a spatial setting. Unsteady direct numerical simulations are performed to simulate the transition scenario. This is coupled with adjoint–based sensitivity analysis and gradient based optimization. The optimized designs found through this procedure are capable of moving the transition location further downstream compared to a homogeneous counterpart by inhibiting the growth of secondary instability modes. This article provides the first application of topology optimization to a spatially developing transition scenario.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 104, article id 109231
Keywords [en]
Direct numerical simulations, Laminar–turbulent transition, Superhydrophobic Surfaces, Topology optimization
National Category
Fluid Mechanics and Acoustics
Identifiers
URN: urn:nbn:se:umu:diva-217429DOI: 10.1016/j.ijheatfluidflow.2023.109231Scopus ID: 2-s2.0-85177193679OAI: oai:DiVA.org:umu-217429DiVA, id: diva2:1816559
Funder
Swedish Research Council, 2019-04339Swedish Research Council, 2016-06119eSSENCE - An eScience CollaborationAvailable from: 2023-12-04 Created: 2023-12-04 Last updated: 2023-12-04Bibliographically approved

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Berggren, Martin

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